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sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate
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, our multidisciplinary research group comprises basic researchers, gastroenterologists, surgeons, oncologists, and bioinformaticians, undertaking several collaborative projects involving large
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for performing lab techniques such as in vitro and in vivo modeling of genetic alterations, and customized sequencing library preparation · Interpret big genomic and biomedical data · Be
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sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate
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experience (Python, C/C++/C#/etc.). Fundamental understanding of, and practical experience with AI / machine learning / deep learning (TensorFlow, Keras, scikit-learn, PyTorch, etc.). Experience with big data
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for performing lab techniques such as in vitro and in vivo modeling of genetic alterations, and customized sequencing library preparation · Interpretate big genomic and biomedical data · Be
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cancers. For more information about Dr. Sumanta Pal, please visit here . For a complete list of Dr. Pal’s publications please visit here . As a successful candidate, you will: Develop and maintain clinical
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multidisciplinary research group comprises basic researchers, gastroenterologists, surgeons, oncologists, and bioinformaticians, undertaking several collaborative projects involving large international consortia. Our